Language : English
Published : 2017
Pages : 158
HW0288 Scientific Communication II Student’s Course Guide
This is the coursebook for Scientific Communication II, one-semester, 2-credit, advanced research writing course for science students in the School of Biological Sciences and School of Physical and Mathematical Sciences at Nanyang Technological University (NTU). This course builds on the foundation course, Scientific Communication I. The broad aim of this course is to familiarise you with the linguistic features and organizational structure of scientific texts. We hope that you will both enjoy and benefit from the course. Science students not only need expect knowledge relating to their disciplines, but they also need to be able to communicate that knowledge to their peers, professors and the wider community. This course is designed to help you to improve your skills in all these areas of communication.
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Harnessing fungi’s enzymatic ability to break down lignocellulolytic biomass to produce ethanol more efficiently and cost-effectively has become a significant research and industrial interest. Fungi and Lignocellulosic Biomass provides readers with a broad range of information on the uses and untapped potential of fungi in the production of bio-based fuels.
With information on the molecular biological and genomic aspects of fungal degradation of plant cell walls to the industrial production and application of key fungal enzymes, chapters in the book cover topics such as enzymology of cellulose, hemicelluloses, and lignin degradation. Edited by a leading researcher in the field, Fungi and Lignocellulosic Biomass will be a valuable tool in advancing the development and production of biofuels and a comprehensive resource for fungal biologists, enzymologists, protein chemists, biofuels chemical engineers, and other research and industry professionals in the field of biomass research.
About the Author
Christian P. Kubicek is a Professor at the Institute of Chemical Engineering at the Vienna University of Technology, is Head of the Institute’s Research Division of Biotechnology and Microbiology, has authored more than 300 refereed journal articles and more than 20 book chapters, and has served as an editor and editorial board member for several international peer reviewed journals.
This textbook is written by a renowned haematologist with more than 30 years of experience in teaching haematology to medical students and whose pedagogical and writing skills are widely admired within the field. Following closely the current curriculum of Imperial College London, medical students, trainee nurses and biomedical science students from other institutions will find the textbook equally suitable, since it includes the core student haematology curriculum as recommended by the Royal College of Pathologists and the British Society of Haematology expert group. This text will be equally suitable for students outside the UK.
The textbook takes a useful, practical approach, incorporating self-evaluation questions and learning objectives that give students not only the information needed to understand the topic but also clear indications on the core knowledge that students are required to know in order to progress within the field of haematology.
An original account of willful ignorance and how this principle relates to modern probability and statistical methods
Through a series of colorful stories about great thinkers and the problems they chose to solve, the author traces the historical evolution of probability and explains how statistical methods have helped to propel scientific research. However, the past success of statistics has depended on vast, deliberate simplifications amounting to willful ignorance, and this very success now threatens future advances in medicine, the social sciences, and other fields. Limitations of existing methods result in frequent reversals of scientific findings and recommendations, to the consternation of both scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertainty exposes the fallacy of regarding probability as the full measure of our uncertainty. The book explains how statistical methodology, though enormously productive and influential over the past century, is approaching a crisis. The deep and troubling divide between qualitative and quantitative modes of research, and between research and practice, are reflections of this underlying problem. The author outlines a path toward the re-engineering of data analysis to help close these gaps and accelerate scientific discovery.
Willful Ignorance: The Mismeasure of Uncertainty presents essential information and novel ideas that should be of interest to anyone concerned about the future of scientific research. The book is especially pertinent for professionals in statistics and related fields, including practicing and research clinicians, biomedical and social science researchers, business leaders, and policy-makers.